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Air Pollution-Level Estimation in Smart Cities Using Machine Learning Algorithms

  • M. Nelgadevi
  • Grasha Jacob
Conference paper
  • 43 Downloads

Abstract

Air pollution is a serious issue that has been harming and hurting the people in India. The air is contaminated owing to industrial plants and manufacturing activities, combustion from fossil fuels, farming chemicals and household products and natural events like volcanic eruptions, forest fires and gaseous releases from decaying plants and animals. Air pollution not only harms the comfort and health of both humans and animals but also destroys the life of the plants. Air pollution is otherwise called as environmental pollution that causes serious problems confronting humanity and other life forms on planet Earth today. In this work, K-nearest neighbour method is used to evaluate the position of air pollution at several places in Chennai City. Random Forest and Support Vector Machine algorithms evaluate the efficiency of the proposed model, thereby categorising the data into six classes of pollution levels.

Keywords

Environmental pollution Air quality K-nearest neighbour Random forest Support vector machine 

Abbreviations

COPD

Chronic obstructive pulmonary diseases

AQI

Air quality index

EPA

Environmental protection agency

RBF

Radial basis function

NARX

Nonlinear auto regressive models with exogenous inputs

SVM

Support vector machine

K-NN

K-nearest neighbour

RF

Random forest

RSPM

Respirable suspended particulate matter

CPCB

Central pollution control board

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • M. Nelgadevi
    • 1
  • Grasha Jacob
    • 1
  1. 1.Department of Computer Science, Rani Anna Government College for WomenManonmaniam Sundaranar UniversityTirunelveliIndia

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